News

Nike Tops Product Data Health in Fashion and Lifestyle Category

The product data health of Nike has a 42% average score based on the last 90 days, so Nike tops the product data health in the Fashion and Lifestyle category. There is still a lot to improve for all brands in this category. For example, Reebok has the most product downloads, but its data health score is low at 31%. For other brands like Adidas (39%), Under Armour (35%), and Lacoste 40%), the completeness scores are better. More improvements can be made regarding mandatory specs, high-res images (1000x1000px), and rich media.

Generally, the score depends on the completeness of all the brand’s product data sheets. Completeness is based on scores for various data elements such as specs, marketing texts, product images, videos, animations, PDFs, X-sell, and enhanced product stories. In general, more complete product data sheets are appreciated by retailers and helpful for consumers to make better buying decisions.

Of the five brands, Adidas has the most connected retail platforms (10). But Niks has the most active products, over 41,000. On the other hand, Adidas products cover a wider variety of categories (95). All brands in this category have an average review score of 31% to 42%.

Data health boosts conversion

Why does data health matter? Based on research from toy brand LEGO conversion rates benefit from better product content. In another study for Disney, the same was found. Similar observations are made about adding relevant product reviews during a consumer’s buying journey.

Compare your own brand

Do you want to compare your own brand against key competitors? It’s easy to do that in a few clicks. Recently we added new features to the Brand Comparison page. Starting the Brand Rank Page of your own brand.

icecat

Icecat is a global leader in product content syndication, helping brands, manufacturers, distributors, and retailers deliver enriched and consistent product information across multiple platforms. Trusted by 40,000+ e-commerce brands, Icecat helps turn browsers into buyers.

Recent Posts

OpenAI Releases Hundreds of Mathematical Results, Dividing Researchers

OpenAI has released hundreds of AI-generated mathematical results, showing artificial intelligence's growing ability to tackle…

11 hours ago

IMF Warns AI Investment Boom Could Trigger Global Market Turmoil

The International Monetary Fund (IMF) has warned that soaring artificial intelligence valuations, growing corporate debt,…

1 day ago

Reflection AI Launches Beam to Challenge China’s Open-Weight AI Models

American startup Reflection AI has introduced Beam, a new open-weight AI model designed to compete…

2 days ago

Replacing Jira in the age of agents by Icecat Projects

In September 2026, we started replacing Jira, the project-tracking tool we had been using, with…

3 days ago

Full Icecat Added to the MCP Server

After our September announcement, we have added Full Icecat support directly to our Model Context…

4 days ago

Manual for Channel and Brand Partners: Personal Catalog File (PCF)

Version: 1.0Updated on: October 12th, 2026 This manual explains what the Personal Catalog File is,…

4 days ago